A hybrid multi-objective genetic algorithm for scheduling heterogeneous workover rigs on onshore oil fields-Reference-Cited by-同舟云学术

A hybrid multi-objective genetic algorithm for scheduling heterogeneous workover rigs on onshore oil fields

Published:2020-12 Issue: Volume:195 Page:107935
ISSN:0920-4105
Container-title:Journal of Petroleum Science and Engineering
language:en
Short-container-title:Journal of Petroleum Science and Engineering

Author:

Tozzo Everton,Cabral Seixas Costa Ana Paula,Lins Isis Didier

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Elsevier BV

Subject

Geotechnical Engineering and Engineering Geology,Fuel Technology

Reference36 articles.

1. Discrete-time MILP formulation for the optimal scheduling of maintenance tasks on oil and gas production assets;Achkar;Ind. Eng. Chem. Res.,2019

2. Scheduling workover rigs for onshore oil production;Aloise;Discrete Appl. Math.,2006

3. Planning and scheduling a fleet of rigs using simulation-optimization;Bassi;Comput. Ind. Eng.,2012

4. Drivers to the workover rig problem;Bissoli;J. Petrol. Sci. Eng.,2016

5. Uma Heurística para o Problema do Planejamento de Itinerários de Sondas em Intervenções de Poços de Petróleo (A heuristic for workover rigs routing problem on oil wells maintenance);Costa,2004

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